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A Hybrid Case-Based System in Stress Diagnosis and Treatment
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- Ahmed, Mobyen Uddin, 1976- (author)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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- Begum, Shahina, 1977- (author)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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- Funk, Peter (author)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
- (creator_code:org_t)
- 2012
- English.
- Other publication (other academic/artistic)
Abstract
Subject headings
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- Computer-aided decision support systems play anincreasingly important role in clinical diagnosis and treatment.However, they are difficult to build for domains where thedomain theory is weak and where different experts differ indiagnosis. Stress diagnosis and treatment is an example of such adomain. This paper explores several artificial intelligencemethods and techniques and in particular case-based reasoning,textual information retrieval, rule-based reasoning, and fuzzylogic to enable a more reliable diagnosis and treatment of stress.The proposed hybrid case-based approach has been validated byimplementing a prototype in close collaboration with leadingexperts in stress diagnosis. The obtained sensitivity, specificityand overall accuracy compared to an expert are 92%, 86% and88% respectively.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Artificial intelligence
- Biofeedback
- Case based reasoning
- Diagnosis
- Information retrieval
- Rule based reasoning
- Stress measurement.
- Computer Science
- datavetenskap
Publication and Content Type
- vet (subject category)
- ovr (subject category)
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